i'm trying to understand more about training models and unsure how to approach this problem.
I have a bunch of historical financial data that I would like open ai to use as additional context when responding with analysis of new financial reports.
It looks like training is done with examples of correct responses given a piece of data - which makes sense, but can historical data without examples of correct responses be used as additional context?
How is this traditionally done? Any thoughts are greatly appreciated!
